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Types & classes42 in github.com/openai/point-e

↓ 6 callersClassPointCloud
An array of points sampled on a surface. Each point may have zero or more channel attributes. :param coords: an [N x 3] array of point c
point_e/util/point_cloud.py:19
↓ 3 callersClassMLP
point_e/models/transformer.py:51
↓ 3 callersClassNpzStreamer
point_e/evals/npz_stream.py:78
↓ 3 callersClassPointNetSetAbstraction
point_e/evals/pointnet2_utils.py:198
↓ 2 callersClassGaussianDiffusion
Utilities for training and sampling diffusion models. Ported directly from here: https://github.com/hojonathanho/diffusion/blob/1e0dceb3
point_e/diffusion/gaussian_diffusion.py:127
↓ 2 callersClassPointNetClassifier
point_e/evals/feature_extractor.py:51
↓ 2 callersClassTransformer
point_e/models/transformer.py:118
↓ 1 callersClassCLIPImageGridPointDiffusionTransformer
point_e/models/transformer.py:290
↓ 1 callersClassCLIPImageGridUpsamplePointDiffusionTransformer
point_e/models/transformer.py:412
↓ 1 callersClassCLIPImagePointDiffusionTransformer
point_e/models/transformer.py:229
↓ 1 callersClassCombinedReader
point_e/evals/npz_stream.py:212
↓ 1 callersClassCrossAttentionPointCloudSDFModel
Encode point clouds using a transformer, and query points using cross attention to the encoded latents.
point_e/models/sdf.py:72
↓ 1 callersClassFIDStatistics
point_e/evals/fid_is.py:16
↓ 1 callersClassGaussianToKarrasDenoiser
point_e/diffusion/k_diffusion.py:79
↓ 1 callersClassImageCLIP
A wrapper around a pre-trained CLIP model that automatically handles batches of texts, images, and embeddings.
point_e/models/pretrained_clip.py:13
↓ 1 callersClassMultiheadAttention
point_e/models/transformer.py:23
↓ 1 callersClassMultiheadCrossAttention
point_e/models/perceiver.py:11
↓ 1 callersClassPointCloudSampler
A wrapper around a model or stack of models that produces conditional or unconditional sample tensors. By default, this will load models
point_e/diffusion/sampler.py:16
↓ 1 callersClassPointDiffusionTransformer
point_e/models/transformer.py:155
↓ 1 callersClassQKVMultiheadAttention
point_e/models/transformer.py:65
↓ 1 callersClassQKVMultiheadCrossAttention
point_e/models/perceiver.py:46
↓ 1 callersClassResidualAttentionBlock
point_e/models/transformer.py:87
↓ 1 callersClassResidualCrossAttentionBlock
point_e/models/perceiver.py:70
↓ 1 callersClassSimplePerceiver
Only does cross attention
point_e/models/perceiver.py:107
↓ 1 callersClassSpacedDiffusion
A diffusion process which can skip steps in a base diffusion process. :param use_timesteps: (unordered) timesteps from the original diffusion
point_e/diffusion/gaussian_diffusion.py:952
↓ 1 callersClassStreamingNpzArrayReader
point_e/evals/npz_stream.py:142
↓ 1 callersClassTriMesh
A 3D triangle mesh with optional data at the vertices and faces.
point_e/util/mesh.py:10
↓ 1 callersClassUpsamplePointDiffusionTransformer
point_e/models/transformer.py:358
↓ 1 callersClass_WrappedModel
point_e/diffusion/gaussian_diffusion.py:994
↓ 1 callersClassget_model
point_e/evals/pointnet2_cls_ssg.py:33
ClassCheckpointFunction
point_e/models/checkpoint.py:32
ClassFeatureExtractor
point_e/evals/feature_extractor.py:21
ClassFrozenImageCLIP
point_e/models/pretrained_clip.py:219
ClassInvalidFIDException
point_e/evals/fid_is.py:12
ClassKarrasDenoiser
point_e/diffusion/k_diffusion.py:31
ClassMemoryNpzArrayReader
point_e/evals/npz_stream.py:165
ClassNpzArrayReader
point_e/evals/npz_stream.py:136
ClassNumpyArrayInfo
Information about an array in an npz file.
point_e/evals/npz_stream.py:15
ClassPointCloudSDFModel
point_e/models/sdf.py:11
ClassPointNetFeaturePropagation
point_e/evals/pointnet2_utils.py:304
ClassPointNetSetAbstractionMsg
point_e/evals/pointnet2_utils.py:244
Classget_loss
point_e/evals/pointnet2_cls_ssg.py:94